Sentences with phrase «in statistical approaches»

A very odd criteria indeed, which if followed would lead to the complete cessation of any innovation in statistical approaches.

This year we are pleased to present the Nan Tobler Award for Review of the Prevention Science Literature to Dr. David MacKinnon, Foundation Professor, Arizona State University for his body of work in statistical approaches to mediation analysis.

Overall, the discipline has not gone through the paradigm shift in the statistical approach to data that more advanced techniques, such as forensic DNA testing, have already adopted: the shift to Bayesian statistics.

Despite differences in statistical approach and in the selection of students to be included in the analysis, Barnard's findings are largely consistent with those we reported.

Furthermore, a detailed reanalysis showed flaws in the statistical approach of Svensmark et al. (2012)(hereafter SES12) and these flaws were also present in the Svensmark et al. (2009) study.

There was a reason for the TOBs changes not considered in the statistical approach for determining TOBS bias, people want to know the day's high and low temperature that day.

Not exact matches

This paper examines the day of the week effect in the crypto currency market using a variety of statistical techniques (average analysis, Student's t - test, ANOVA, the Kruskal - Wallis test, and regression analysis with dummy variables) as well as a trading simulation approach.

The two - hour discussion dealt with the statistical problems inherent in the two respective approaches.

Other panelists pointed out that there were several factors in play here, not just gender, so the full matter could in fairness only be determined by a more rigorous statistical approach that assigned weights to each variable.

Author Dan Fabrizio, says the book, «hit # 1 in its category «Sports < Gambling,» and uses an academic and statistical approach to finding value in the sports marketplace.»

The study uses four statistical approaches, which come to the same conclusion: «there is no significant correlation between dissolved methane concentrations in groundwater and proximity to nearby oil / gas wells.»

Combined, the results of all four statistical approaches yield a defensible, compelling argument that there is no significant correlation between dissolved methane concentrations in groundwater and proximity to nearby oil / gas wells.»

An approach developed in Freiburg by researchers from Rome, Milan; Redmond, USA; Paris, and Freiburg now makes it possible for the first time to identify characteristic statistical signatures across unmeasurable probability distributions.

Rubin - Delanchy — in collaboration with Nick Heard, reader in statistics at Imperial College London, and Carey Priebe, professor of statistics at The Johns Hopkins University — has developed a «linear algebraic» approach to network anomaly detection, in which nodes are embedded in a finite dimensional latent space, where common statistical, signal - processing and machine - learning methodologies are then available.

Then, in the late 1980s, along came neural networks and statistical approaches, and this allowed us to teach a computer to become intelligent rather than program it to be so.

Sufficient information should be supplied to allow readers to judge whether any assumptions necessary for the validity of statistical approaches (e.g., data are normally distributed, survival data are consistent with proportional hazards in a Cox regression model) have been verified.

«We analyzed much more data with many more diplodocid specimens than ever before, and we took a statistical approach to do it in a reproducible way.

Using multiple statistical approaches to study a long - term pediatric cohort in Nicaragua, we show that risk of severe dengue disease is highest within a narrow range of preexisting anti-DENV antibody titers.

To find out how average monthly temperatures had changed from 1847 to 2013, the researchers used an advanced statistical time series approach to figure out what changes in temperature were due to natural variability and what changes represented a long - term trend.

«Our study shows how application of interdisciplinary statistical approaches, coupled with informed models of collective motion can help extract useful biological information about social interactions in schools of fish.

The work also explains why exoplanets appear to pile up — in a statistical sense — near their stars in orbits as short as 3 days, he says, «like a school of salmon approaching the waterfall.»

Stanley W. K. Ng, a senior PhD candidate in the lab of Dr. Peter Zandstra at the Institute for Biomaterials and Biomedical Engineering, University of Toronto and co-lead author of the paper, used rigorous statistical approaches to develop and test the new «stemness score,» using AML patient data provided by the Princess Margaret leukemia clinic and collaborators in the United States and Europe.

The terabytes of data that will flow from these experiments would in turn demand new computational and statistical approaches and new ways to permit thousands of labs to share information.

The new study combined a statistical approach implemented in a unique software modeling programme called IONONEST with data from the Kilpisjärvi Atmospheric and Imaging Receiver Array (KAIRA) radio telescope in Finland, which is capable of making sensitive broadband measurements of the absorption caused to the cosmic radio background by the ionsophere.

But even if the growth of the economy is not algorithmic, an algorithmic approach may still be of use in finding statistical features of model economies for comparison to the real one.

Professor Siddiqui, Professor of Airway Diseases at the University of Leicester and Consultant Respiratory Physician at Leicester's Hospitals, added: «Further research is now underway to understand how to use these statistical approaches to combine complex information in asthma patients and make personalised treatment decisions.»

In this study, Rotem Ben - Shachar, Scott Schmidler, and Katia Koelle at Duke University use statistical approaches to test if proposed mechanisms can explain variation in dengue viral load patternIn this study, Rotem Ben - Shachar, Scott Schmidler, and Katia Koelle at Duke University use statistical approaches to test if proposed mechanisms can explain variation in dengue viral load patternin dengue viral load patterns.

These kinds of observations can not be easily made under a microscope, of course, but require instead an indirect, statistical approach: «Using small - angle X-ray scattering at BESSY II, we were not only able to ascertain that the nanoparticles are all around five nanometres in diameter, but also measure what the separations between them are.

«Hopefully researchers will start looking in the black holes, the larger gaps,» he says — perhaps by using the statistical approach that he and his colleagues outlined August 30 in the Proceedings of the Royal Society B.

Our Berkeley Earth approach used sophisticated statistical methods developed largely by our lead scientist, Robert Rohde, which allowed us to determine earth land temperature much further back in time.

Statistical approaches to paternity analysis in natural populations and applications to the North Atlantic humpback whale.

In collaboration with Stanford, the University of Southern California (USC), and the University of Alabama (UAB), the team used experimental, statistical, and visualization approaches to create the atlas.

Title: Combining efficacy and completion rates with no data imputation: a composite approach with greater sensitivity for the statistical evaluation of active comparisons in antipsychotic Trials Author: J. Rabinowitz et al..

Despite exploiting signatures displaying different statistical properties, these methods individually detected genes previously identified as undergoing selection in domesticated horses, such as KITLG (9) and melanocortin 1 receptor (MC1R)(40), providing important validation of the approach as a whole.

Our lab blends computation and theory in close collaboration with experimentalists and clinicians, developing machine learning approaches and statistical models of next - generation sequencing data.

The need for a systematic approach to tractography validation and for a framework to perform statistical model testing in individual brains has been claimed (Pestilli Nature: Scientific Data 2015).

Our framework links innovative approaches for (1) generating high - resolution, probabilistic projection of future climate and sea - level changes and (2) empirically identifying robust statistical relationships characterizing how humans have responded to past climate variability and past climate change, in order to (3) project how humans may respond to uncertain future changes.

In addition, our statistical approach provides a measure of certainty for each prediction, in contrast with current palynology methods that are almost always based on expert opinion and devoid of statistical inferencIn addition, our statistical approach provides a measure of certainty for each prediction, in contrast with current palynology methods that are almost always based on expert opinion and devoid of statistical inferencin contrast with current palynology methods that are almost always based on expert opinion and devoid of statistical inference.

Here, we present a new statistical approach called oncomix, that models transcriptional heterogeneity in tumor and adjacent normal (i.e. tumor - free) using bimodality to find oncogene candidates.

The pilot study also reported that the difference in peripheral arterial blood flow (the movement of blood to different parts of the body, as measured by PAT), a predictor of vascular health, after eating the hamburger meal compared to the hamburger - fresh avocado meal was approaching statistical significance...

The differences in percentage of marital break - ups across on - line venues approached statistical significance [χ2 (10) = 16.71, P = 0.08; Table S5], but differences across off - line venues were not statistically significant [χ2 (9) = 10.17, P = 0.34], and neither test was significant after controlling for covariates [χ2 (10) = 14.41, P = 0.17, and χ2 (9) = 7.66, P = 0.56, respectively].

Applying sound business analysis to your thought process — in combination with statistical principles — can help you make sense of the data and tease out which approach maximizes your efforts.

The most sophisticated approach uses a statistical technique known as a value - added model, which attempts to filter out sources of bias in the test - score growth so as to arrive at an estimate of how much each teacher contributed to student learning.

Students in magnet public schools have slightly higher scores than assigned public school students, although the difference does not approach statistical significance.

In simplest terms, the statistical procedure of the Coleman Report relies on a problematic stepwise analysis of variance approach, which makes strong assumptions about which factors are fundamental causes of achievement and which are of secondary significance.

In a recent article, Greg Branch, Steve Rivkin, and I use a variety of statistical approaches to isolate the impacts of a principal on student learning.

The statistical meth ods employed to analyze these data are among the more sophisticated quasi-experimental approaches to isolating cause and effect in nonexperimental data.

The Times analysis relied on a statistical approach known as «value - added,» which estimates the effectiveness of teachers by crediting them for the gains students make over their performance in previous years on standardized tests in math and English.

In order to circumvent the issue of selection bias in the case of mandatory retention policies like the one proposed for Michigan, recent studies have utilized a statistical approach that compares children who fall just above and just below the cutoff used to determine retentioIn order to circumvent the issue of selection bias in the case of mandatory retention policies like the one proposed for Michigan, recent studies have utilized a statistical approach that compares children who fall just above and just below the cutoff used to determine retentioin the case of mandatory retention policies like the one proposed for Michigan, recent studies have utilized a statistical approach that compares children who fall just above and just below the cutoff used to determine retention.

Statistical evidence about validity and reliability is unlikely to get us very far in choosing among these approaches.